SlideShare a Scribd company logo
1 of 25
Download to read offline
O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A
#DenodoDataFest
RAPID, AGILE DATA STRATEGIES
For Accelerating Analytics, Cloud, and Big Data Initiatives.
Metadata and Data: Search & Exploration
Pablo Álvarez Yáñez
Principal Engineer, Denodo
Search and Find the Right Data
3
- IDC, The high cost of non finding information
Knowledge workers spend from 15% to 35% of their time
searching for information.
Searchers are successful in finding what they seek 50% of
the time
Different Scenarios
5
“I know the data
model and I’m
fluent in SQL”
“I know my data
but I don’t want
to re-build a query”
“Do we even have
that data?”
Different Paradigms
6
SQL Query:
SELECT * FROM
Customer WHERE
City = ‘Palo Alto’
Catalog search:
What views/reports
do we have about
customers?
Keyword search:
Do we have data
about “Palo Alto”?
How?: SQL tools
7
How?: Catalogs
8
How?: Google (Indexes + Search Engine + Hyperlinks)
9
How?: Data Virtualization?
• DV is a central repository to access all
your data
• DV abstracts the underlying technology
of the data sources
• DV enables the definition of a semantic
data model
• DV offers a metadata-rich catalog
• DV offers multiple access methods:
• SQL based
• Keyword based search (using an index)
• RESTful navigation (hyperlinks)
10
VIRTUAL DATA MODEL
Let’s see an example
11
“Steel prices are on the rise, what is the
impact for our organization”
12
13
14
15
16
17
Architecture
18
Financial
Web Service
Global Warehouse
Status
CRM
Vendor Product
SAP
Bill Of Materials
Warehouses Databases
Purchasing History
Hive
Product
Expected Needs
Price
Benefits
• Multiple sources and technologies accessed from a common place
• No need to learn new technologies or request multiple credentials
• Catalog with models, descriptions, relationships and data lineage
• Increase reusability and improves consistency
• Google-like keyword based search
• Allows end users to search for data without understanding the underlying data model
• Built-in query builder
• Supports personalization of filters, aggregations, projections, etc.
• Links to related data
• Enables complex drill-down and jump across different sources
• Integrated security model
• Role based security applied to all access methods
19
“Citizen Integrators”
Denodo’s Information Self Service tool allows non-technical end
users to access data within proper guardrails
• Secured
• Fine-grained RBAC to protect confidential data
• Data is consistent and trustworthy
• Encourage use of “certified data models”
• Controlled
• Denodo Resource Manager used to set plans and rules to protect resources
and ensure SLAs
20
How does it work
21
How does it work
22
Denodo Scheduler
ARN:
Crawling and
Indexing
Information Self
Service
SQL queries
Search,
Browse &
Explore
Integrated
Security
Best Practices
• Document your views
• It really helps end users
• Create associations between views
• Makes discovery much easier
• Don’t include fact tables in your crawling/indexing
• They only have numbers and are not useful for keyword-based searches
• Set up proper guardrails
• Security
• Resource manager
23
Q&A
Thank you!
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and
microfilm, without prior the written authorization from Denodo Technologies.
O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A
#DenodoDataFest

More Related Content

What's hot

Three Dimensions of Data as a Service
Three Dimensions of Data as a ServiceThree Dimensions of Data as a Service
Three Dimensions of Data as a ServiceDenodo
 
Logical Data Fabric: Architectural Components
Logical Data Fabric: Architectural ComponentsLogical Data Fabric: Architectural Components
Logical Data Fabric: Architectural ComponentsDenodo
 
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Denodo
 
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data VirtualizationEnabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data VirtualizationDenodo
 
Introduction to Modern Data Virtualization (US)
Introduction to Modern Data Virtualization (US)Introduction to Modern Data Virtualization (US)
Introduction to Modern Data Virtualization (US)Denodo
 
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Denodo
 
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...Discover how Covid-19 is accelerating the need for healthcare interoperabilit...
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...Denodo
 
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
 
Data Virtualization for Compliance – Creating a Controlled Data Environment
Data Virtualization for Compliance – Creating a Controlled Data EnvironmentData Virtualization for Compliance – Creating a Controlled Data Environment
Data Virtualization for Compliance – Creating a Controlled Data EnvironmentDenodo
 
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Denodo
 
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseDenodo
 
Introduction to Modern Data Virtualization 2021 (APAC)
Introduction to Modern Data Virtualization 2021 (APAC)Introduction to Modern Data Virtualization 2021 (APAC)
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
 
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
 
Denodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo
 
How can Insurers Accelerate Digital Transformation with Data Virtualization (...
How can Insurers Accelerate Digital Transformation with Data Virtualization (...How can Insurers Accelerate Digital Transformation with Data Virtualization (...
How can Insurers Accelerate Digital Transformation with Data Virtualization (...Denodo
 
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Denodo
 
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Denodo
 

What's hot (20)

Three Dimensions of Data as a Service
Three Dimensions of Data as a ServiceThree Dimensions of Data as a Service
Three Dimensions of Data as a Service
 
Logical Data Fabric: Architectural Components
Logical Data Fabric: Architectural ComponentsLogical Data Fabric: Architectural Components
Logical Data Fabric: Architectural Components
 
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...
 
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data VirtualizationEnabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
 
Introduction to Modern Data Virtualization (US)
Introduction to Modern Data Virtualization (US)Introduction to Modern Data Virtualization (US)
Introduction to Modern Data Virtualization (US)
 
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...
 
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...Discover how Covid-19 is accelerating the need for healthcare interoperabilit...
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...
 
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
 
Data Virtualization for Compliance – Creating a Controlled Data Environment
Data Virtualization for Compliance – Creating a Controlled Data EnvironmentData Virtualization for Compliance – Creating a Controlled Data Environment
Data Virtualization for Compliance – Creating a Controlled Data Environment
 
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
 
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data Warehouse
 
Introduction to Modern Data Virtualization 2021 (APAC)
Introduction to Modern Data Virtualization 2021 (APAC)Introduction to Modern Data Virtualization 2021 (APAC)
Introduction to Modern Data Virtualization 2021 (APAC)
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data Virtualization
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
 
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
 
Denodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and Business
 
How can Insurers Accelerate Digital Transformation with Data Virtualization (...
How can Insurers Accelerate Digital Transformation with Data Virtualization (...How can Insurers Accelerate Digital Transformation with Data Virtualization (...
How can Insurers Accelerate Digital Transformation with Data Virtualization (...
 
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
Partner Keynote: How Logical Data Fabric Knits Together Data Visualization wi...
 
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...
 

Similar to Denodo DataFest 2016: Metadata and Data: Search and Exploration

The Emerging Role of the Data Lake
The Emerging Role of the Data LakeThe Emerging Role of the Data Lake
The Emerging Role of the Data LakeCaserta
 
Democratizing Data Science in the Enterprise
Democratizing Data Science in the EnterpriseDemocratizing Data Science in the Enterprise
Democratizing Data Science in the EnterpriseJesus Rodriguez
 
Balancing Data Governance and Innovation
Balancing Data Governance and InnovationBalancing Data Governance and Innovation
Balancing Data Governance and InnovationCaserta
 
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...semanticsconference
 
DataSpryng Overview
DataSpryng OverviewDataSpryng Overview
DataSpryng Overviewjkvr
 
Keynote: Graphs in Government_Lance Walter, CMO
Keynote:  Graphs in Government_Lance Walter, CMOKeynote:  Graphs in Government_Lance Walter, CMO
Keynote: Graphs in Government_Lance Walter, CMONeo4j
 
Data Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityData Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityPrecisely
 
Course 8 : How to start your big data project by Eric Rodriguez
Course 8 : How to start your big data project by Eric Rodriguez Course 8 : How to start your big data project by Eric Rodriguez
Course 8 : How to start your big data project by Eric Rodriguez Betacowork
 
Unlock Your Data for ML & AI using Data Virtualization
Unlock Your Data for ML & AI using Data VirtualizationUnlock Your Data for ML & AI using Data Virtualization
Unlock Your Data for ML & AI using Data VirtualizationDenodo
 
Big Data Evolution
Big Data EvolutionBig Data Evolution
Big Data Evolutionitnewsafrica
 
Patterns for Successful Data Science Projects (Spark AI Summit)
Patterns for Successful Data Science Projects (Spark AI Summit)Patterns for Successful Data Science Projects (Spark AI Summit)
Patterns for Successful Data Science Projects (Spark AI Summit)Bill Chambers
 
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Denodo
 
Architecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsArchitecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsCaserta
 
How a Logical Data Fabric Enhances the Customer 360 View
How a Logical Data Fabric Enhances the Customer 360 ViewHow a Logical Data Fabric Enhances the Customer 360 View
How a Logical Data Fabric Enhances the Customer 360 ViewDenodo
 
Solving the Disconnected Data Problem in Healthcare Using MongoDB
Solving the Disconnected Data Problem in Healthcare Using MongoDBSolving the Disconnected Data Problem in Healthcare Using MongoDB
Solving the Disconnected Data Problem in Healthcare Using MongoDBMongoDB
 
Trends in Data Modeling
Trends in Data ModelingTrends in Data Modeling
Trends in Data ModelingDATAVERSITY
 
Driving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data AssetsDriving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data AssetsEmbarcadero Technologies
 
SpeedTrack Tech Overview 2015
SpeedTrack Tech Overview 2015SpeedTrack Tech Overview 2015
SpeedTrack Tech Overview 2015Michael Zoltowski
 
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...Neo4j
 
1. The Importance of Graphs in Government
1. The Importance of Graphs in Government1. The Importance of Graphs in Government
1. The Importance of Graphs in GovernmentNeo4j
 

Similar to Denodo DataFest 2016: Metadata and Data: Search and Exploration (20)

The Emerging Role of the Data Lake
The Emerging Role of the Data LakeThe Emerging Role of the Data Lake
The Emerging Role of the Data Lake
 
Democratizing Data Science in the Enterprise
Democratizing Data Science in the EnterpriseDemocratizing Data Science in the Enterprise
Democratizing Data Science in the Enterprise
 
Balancing Data Governance and Innovation
Balancing Data Governance and InnovationBalancing Data Governance and Innovation
Balancing Data Governance and Innovation
 
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...
Ben Gardner | Delivering a Linked Data warehouse and integrating across the w...
 
DataSpryng Overview
DataSpryng OverviewDataSpryng Overview
DataSpryng Overview
 
Keynote: Graphs in Government_Lance Walter, CMO
Keynote:  Graphs in Government_Lance Walter, CMOKeynote:  Graphs in Government_Lance Walter, CMO
Keynote: Graphs in Government_Lance Walter, CMO
 
Data Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityData Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data Quality
 
Course 8 : How to start your big data project by Eric Rodriguez
Course 8 : How to start your big data project by Eric Rodriguez Course 8 : How to start your big data project by Eric Rodriguez
Course 8 : How to start your big data project by Eric Rodriguez
 
Unlock Your Data for ML & AI using Data Virtualization
Unlock Your Data for ML & AI using Data VirtualizationUnlock Your Data for ML & AI using Data Virtualization
Unlock Your Data for ML & AI using Data Virtualization
 
Big Data Evolution
Big Data EvolutionBig Data Evolution
Big Data Evolution
 
Patterns for Successful Data Science Projects (Spark AI Summit)
Patterns for Successful Data Science Projects (Spark AI Summit)Patterns for Successful Data Science Projects (Spark AI Summit)
Patterns for Successful Data Science Projects (Spark AI Summit)
 
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...
 
Architecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsArchitecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment Options
 
How a Logical Data Fabric Enhances the Customer 360 View
How a Logical Data Fabric Enhances the Customer 360 ViewHow a Logical Data Fabric Enhances the Customer 360 View
How a Logical Data Fabric Enhances the Customer 360 View
 
Solving the Disconnected Data Problem in Healthcare Using MongoDB
Solving the Disconnected Data Problem in Healthcare Using MongoDBSolving the Disconnected Data Problem in Healthcare Using MongoDB
Solving the Disconnected Data Problem in Healthcare Using MongoDB
 
Trends in Data Modeling
Trends in Data ModelingTrends in Data Modeling
Trends in Data Modeling
 
Driving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data AssetsDriving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data Assets
 
SpeedTrack Tech Overview 2015
SpeedTrack Tech Overview 2015SpeedTrack Tech Overview 2015
SpeedTrack Tech Overview 2015
 
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...
Neo4j GraphTalk Düsseldorf - How Graphs revolutionise Identity & Access Manag...
 
1. The Importance of Graphs in Government
1. The Importance of Graphs in Government1. The Importance of Graphs in Government
1. The Importance of Graphs in Government
 

More from Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoDenodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDenodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityDenodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
 

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 

Recently uploaded

CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramMoniSankarHazra
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...amitlee9823
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFxolyaivanovalion
 

Recently uploaded (20)

CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics Program
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 

Denodo DataFest 2016: Metadata and Data: Search and Exploration

  • 1. O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A #DenodoDataFest RAPID, AGILE DATA STRATEGIES For Accelerating Analytics, Cloud, and Big Data Initiatives.
  • 2. Metadata and Data: Search & Exploration Pablo Álvarez Yáñez Principal Engineer, Denodo
  • 3. Search and Find the Right Data 3
  • 4. - IDC, The high cost of non finding information Knowledge workers spend from 15% to 35% of their time searching for information. Searchers are successful in finding what they seek 50% of the time
  • 5. Different Scenarios 5 “I know the data model and I’m fluent in SQL” “I know my data but I don’t want to re-build a query” “Do we even have that data?”
  • 6. Different Paradigms 6 SQL Query: SELECT * FROM Customer WHERE City = ‘Palo Alto’ Catalog search: What views/reports do we have about customers? Keyword search: Do we have data about “Palo Alto”?
  • 9. How?: Google (Indexes + Search Engine + Hyperlinks) 9
  • 10. How?: Data Virtualization? • DV is a central repository to access all your data • DV abstracts the underlying technology of the data sources • DV enables the definition of a semantic data model • DV offers a metadata-rich catalog • DV offers multiple access methods: • SQL based • Keyword based search (using an index) • RESTful navigation (hyperlinks) 10 VIRTUAL DATA MODEL
  • 11. Let’s see an example 11 “Steel prices are on the rise, what is the impact for our organization”
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. Architecture 18 Financial Web Service Global Warehouse Status CRM Vendor Product SAP Bill Of Materials Warehouses Databases Purchasing History Hive Product Expected Needs Price
  • 19. Benefits • Multiple sources and technologies accessed from a common place • No need to learn new technologies or request multiple credentials • Catalog with models, descriptions, relationships and data lineage • Increase reusability and improves consistency • Google-like keyword based search • Allows end users to search for data without understanding the underlying data model • Built-in query builder • Supports personalization of filters, aggregations, projections, etc. • Links to related data • Enables complex drill-down and jump across different sources • Integrated security model • Role based security applied to all access methods 19
  • 20. “Citizen Integrators” Denodo’s Information Self Service tool allows non-technical end users to access data within proper guardrails • Secured • Fine-grained RBAC to protect confidential data • Data is consistent and trustworthy • Encourage use of “certified data models” • Controlled • Denodo Resource Manager used to set plans and rules to protect resources and ensure SLAs 20
  • 21. How does it work 21
  • 22. How does it work 22 Denodo Scheduler ARN: Crawling and Indexing Information Self Service SQL queries Search, Browse & Explore Integrated Security
  • 23. Best Practices • Document your views • It really helps end users • Create associations between views • Makes discovery much easier • Don’t include fact tables in your crawling/indexing • They only have numbers and are not useful for keyword-based searches • Set up proper guardrails • Security • Resource manager 23
  • 24. Q&A
  • 25. Thank you! © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A #DenodoDataFest